Product Ads Performance and Forecasting
charzee
06/11/2021
Revenue
Trends
Revenue and ROAS
## Warning: `arrange_()` is deprecated as of dplyr 0.7.0.
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## Call `lifecycle::last_warnings()` to see where this warning was generated.Growth Rates
Time Series Decomposition
Forecasting
Growth Rate Forecast
Time Series
Time series forecasting methods arranged by mean absolute percentage error (MAPE)
| Method | MAPE |
|---|---|
| DSHW | 27.41785 |
| SARIMA | 29.17345 |
| Naive | 31.24933 |
| ETS | 31.24933 |
| TBATS | 31.82324 |
Holt-Winters’ MAPE: 8.9323899
Holt-Winters’ MAPE: 8.9323899
Log-Linear Regression
Spend to Revenue
Spend to ROAS of Revenue Log-Linear Regression
Heatmaps
Expected Revenue if ROAS improves by Y%
Strongest ROAS by Spend